{"id":"W4394741458","doi":"10.1155/2024/6632473","title":"Time‐Delay following Model for Connected and Automated Vehicles with Collision Conflicts and Forced Deceleration","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Queue; Collision; Computer science; Speed limit; Traffic flow (computer networking); Simulation; Real-time computing; Queueing theory; Automotive engineering; Engineering; Transport engineering; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003962058,0.0007899206,0.0007557829,0.0008016775,0.000717365,0.0009500758,0.001738579,0.001391083,0.002863811],"category_scores_gemma":[0.001146565,0.000463485,0.0009632214,0.0004941539,0.0007954866,0.0009583613,0.0008131918,0.001014761,0.0003810005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136225,"about_ca_system_score_gemma":0.001108603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03336356,"about_ca_topic_score_gemma":0.01310167,"domain_scores_codex":[0.9997917,0.00002634759,0.00001095056,0.00007205446,0.00005000257,0.00004890233],"domain_scores_gemma":[0.9994174,0.0001662131,0.0001724373,0.0000270497,0.0001611499,0.00005573602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000026476,0.00002066967,0.0009728687,0.00002716151,0.00001496389,0.00009372173,0.00006716853,0.9902219,0.0008428684,0.005514718,0.0002499935,0.001947436],"study_design_scores_gemma":[0.000003407325,0.000007197893,0.00009067541,0.000001042137,0.000003627632,0.000006015619,0.00000512763,0.9993187,0.00004454956,0.0004255289,0.00009183968,0.000002316785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.233176,0.0004591095,0.7492971,0.0005450968,0.0001712894,0.0001486697,0.0007093491,0.0003935531,0.01509989],"genre_scores_gemma":[0.9808539,0.0001891875,0.007735512,0.00005234004,0.00002549505,0.0001297805,0.0002555614,0.00002839828,0.01072992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03336356,"threshold_uncertainty_score":0.06633872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005600985216521376,"score_gpt":0.2171079389334551,"score_spread":0.2115069537169337,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}